A pragmatic introduction to secure multi-party computation
Secure multi-party computation (MPC) has evolved from a theoretical curiosity in the 1980s
to a tool for building real systems today. Over the past decade, MPC has been one of the …
to a tool for building real systems today. Over the past decade, MPC has been one of the …
Conclave: secure multi-party computation on big data
N Volgushev, M Schwarzkopf, B Getchell… - Proceedings of the …, 2019 - dl.acm.org
Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint
computations without revealing private data. Current MPC algorithms scale poorly with data …
computations without revealing private data. Current MPC algorithms scale poorly with data …
It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing
Firms are often reluctant to share data because of mistrust, concerns over control, and other
risks. Multi-party computation (MPC) is a new technique to compute meaningful insights …
risks. Multi-party computation (MPC) is a new technique to compute meaningful insights …
Practical accountability of secret processes
The US federal court system is exploring ways to improve the accountability of electronic
surveillance, an opaque process often involving cases sealed from public view and tech …
surveillance, an opaque process often involving cases sealed from public view and tech …
[图书][B] Data science ethics: Concepts, techniques, and cautionary tales
D Martens - 2022 - books.google.com
Data science ethics is all about what is right and wrong when conducting data science. Data
science has so far been primarily used for positive outcomes for businesses and society …
science has so far been primarily used for positive outcomes for businesses and society …
{SANNS}: Scaling up secure approximate {k-Nearest} neighbors search
The k-Nearest Neighbor Search (k-NNS) is the backbone of several cloud-based services
such as recommender systems, face recognition, and database search on text and images …
such as recommender systems, face recognition, and database search on text and images …
Accessible privacy-preserving web-based data analysis for assessing and addressing economic inequalities
An essential component of initiatives that aim to address pervasive inequalities of any kind is
the ability to collect empirical evidence of both the status quo baseline and of any …
the ability to collect empirical evidence of both the status quo baseline and of any …
Forecasting innovations in science, technology, and education
K Börner, WB Rouse, P Trunfio… - Proceedings of the …, 2018 - National Acad Sciences
Human survival depends on our ability to predict future outcomes so that we can make
informed decisions. Human cognition and perception are optimized for local, short-term …
informed decisions. Human cognition and perception are optimized for local, short-term …
PentaGOD: stepping beyond traditional GOD with five parties
Secure multiparty computation (MPC) is increasingly being used to address privacy issues
in various applications. The recent work of Alon et al.(CRYPTO'20) identified the …
in various applications. The recent work of Alon et al.(CRYPTO'20) identified the …
Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation
W Agahari, R Dolci, GA de Reuver - 29th European Conference …, 2021 - research.tudelft.nl
Privacy-preserving technologies could allow data marketplaces to deliver technical
assurances to companies on data privacy and control. However, how such technologies …
assurances to companies on data privacy and control. However, how such technologies …